Oracle10g forData Warehousing

Jiangang Luo

Jiangang.Luo@oracle.com

Gartner Data Warehouse Magic Quadrant

http://mediaproducts.gartner.com/reprints/oracle/121302.html

Every major platform, Every major architecture

Oracle Terabyte DW Customers Consumer Packaged Goods /

Retail Communications Financial Services Manufacturing.

Questions for today’s Enterprise• Do you have the information you need to make timely, optimized

decisions for improving your revenue and profits?• Can you analyze and drill down on information to make precise

decisions for optimizing your day-to-day business operations?• Do you have a personalized, single point of access to all your

intelligence?• Do you have multiple departmental data marts across your

enterprise?• How do you ensure users can only access information pertinent to

their role or job duties?

Business Intelligence: The Old Way

ETLProcessing

Marketing

Finance

Sales

IndependentData Marts OLAP

Engine

MiningEngine

SQLServer

DB2

Oracle Reporting

Fragmented DataFragmented Analysis

Business Intelligence: The Best Way

Consolidate Data Consolidate Analysis

OracleData Mart

Enterprise Data Warehouse

Marketing

Finance

Sales

OLAP

Data Mining

ETL

The Evolving Approach to Warehouse Architecture

OLTP

ODS

Data Warehouse

“Hub”

“Dependent”

Data Mart“Independent”

Data Mart ADS ADS ADS FDS FDS ADS ADS ADS

Data

Data

Data

Data

Data

Data

Data

•Staging Area/ODS

•EDW – 3NF - Atomic

•Reporting/Performance layer- Dimensional

•Executive highly summarized

•OLTP systems

Traditional Warehouse Infrastructure Enterprise Warehouse Infrastructure

•Single database infrastructure

While data warehouse architectural options areWhile data warehouse architectural options aredebatable…… the need for one is not.debatable…… the need for one is not.

BI /DW Overview

ETL OLAP DataMining

Web

企业应用程序

DB

Legacy

Oracle Warehouse

Builder

Oracle 10g

Oracle Application

Server

Reports

Discoverer

BI Beans

Oracle BI/DW Solution

BIDW

BI Beans

Discoverer

Reports

Oracle Datawarehousing

Warehouse Builder

Busines External Data

Data ModelDictiona

ry

ETL Scripts

Reports

Discoverer

OLAPOLAPJDeveloper(BI Beans)

PortalPortalDiscoverer Portlets

Data MinerData Warehouse

Revenue

Customer Time

Product Channel

Cubes

Data

Oracle10g for Business Intelligence A scalable, full-featured data engine, running on

any hw platform, providing enterprise-strength security and reliability

– not a server running on proprietary or special-purpose hardware

A single platform delivering all analytic capabilities– not a collection of special-purpose analytic engines with

separate repositories An integral component of a company's information

architecture– not an island of data and analytical results

Platform for Business Intelligence:ETL

Data Warehousing

ETL

OLAP

Data Mining

Oracle9Oracle9ii

Transformation EngineIntegrated in Oracle DBScalable (parallel)Extensible (Java, PL/SQL)Efficient (no data staging)

Warehouse BuilderExtensible framework for designing and deploying DW’s

Data Mining embedded in Oracle Database

– Simplifies process, eliminates data movement, and delivers performance and scalability

Enhances applications with predictions and insights

– Available inside the database

Java-based API– For developing business intelligence applications

Oracle Data MiningData Warehousing

ETL

OLAP

Data Mining

Oracle10gOracle10g

Platform for Business Intelligence:OLAP

Data Warehousing

ETL

OLAP

Data Mining

Oracle9Oracle9ii

What is the Oracle OLAP? – Industrial-strength

multidimensional calculation engine

– Multidimensional data types– OLAP API to the Oracle9i

Database Why do I need the OLAP?

– Complements relational technology by enhancing the Database's calculation capabilities

Multidimensional queries Planning functions What-if analysis

Full set of OLAP capabilities All storage and processing in

the Oracle database– Multidimensional structures (dimensions,

cubes) stored natively in the database– No exterior file storage or separate

olap process (unlike competitive products)

SQL access to multidimensionalobjects & calculations

BI Beans for rapid development ofinternet applications

Oracle OLAP

OLAP

Data Warehouse

Business ProblemReplication and Fragmentation

Data Warehouse

DataReplication

Oracle10g changes this …

Data WarehouseData Warehouse

Data Data WarehouseWarehouse

EngineEngine

DataIntegration

Engine

OLAPEngine

MiningEngine

Multiple databases Multiple servers Multiple engines Proprietary interfaces Complex environment Slow conversion of

data to information

Into this …

Data WarehouseData Warehouse

Single database Single server Single engine Standard interfaces Simplified environment Fastest conversion of

data to information

Data Warehousing

ETL

OLAP

Data Mining

Oracle10gDBOracle10gDB

Workload Repository– Collects and maintains key system metrics: performance measures,

SQL workload, feature usage, … Automatic SQL Tuning

– Re-optimizes poor performing queries in background– Applies plan improvements to subsequent executions

Self-Tuning Memory– No more parameters for shared_pool, large_pool, …– Two parameters only: PGA, SGA

Automated Storage Management– Removes need to manage storage at the “file” level– Simplified management at “disk group” level

Key 10g Manageability Featuresfor DW/BI